University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /MC-SS.2011.

Similar documents
University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ICCE.2012.

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /MC-SS.2011.

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /PIMRC.2011.

Feasibility study of IEEE ad for Vehicle-to-X communication

Modeling Mutual Coupling and OFDM System with Computational Electromagnetics

Millimeter-Wave (mmwave) Radio Propagation Characteristics

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /VETECS.2004.

Multiple Antennas. Mats Bengtsson, Björn Ottersten. Basic Transmission Schemes 1 September 8, Presentation Outline

Performance Analysis of n Wireless LAN Physical Layer

Investigation and Improvements to the OFDM Wi-Fi Physical Layer Abstraction in ns-3 Workshop on ns-3 June 15, 2016

5G System Concept Seminar. RF towards 5G. Researchers: Tommi Tuovinen, Nuutti Tervo & Aarno Pärssinen

What s Behind 5G Wireless Communications?

2015 The MathWorks, Inc. 1

Written Exam Channel Modeling for Wireless Communications - ETIN10

Using the epmp Link Budget Tool

University of Bristol - Explore Bristol Research. Peer reviewed version

OBJECTIVES. Understand the basic of Wi-MAX standards Know the features, applications and advantages of WiMAX

Analysis of maximal-ratio transmit and combining spatial diversity

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /PIMRC.2009.

Compressed-Sensing Based Multi-User Millimeter Wave Systems: How Many Measurements Are Needed?

HOW DO MIMO RADIOS WORK? Adaptability of Modern and LTE Technology. By Fanny Mlinarsky 1/12/2014

Analysis and Improvements of Linear Multi-user user MIMO Precoding Techniques

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to publication record in Explore Bristol Research PDF-document

Use of Multiple-Antenna Technology in Modern Wireless Communication Systems

Cooperative Sensing for Target Estimation and Target Localization

University of Bristol - Explore Bristol Research. Link to published version (if available): /VTCF

1

Antennas and Propagation. Chapter 6b: Path Models Rayleigh, Rician Fading, MIMO

Multiple Antenna Processing for WiMAX

Air Interface and Physical Layer techniques for 60 GHz WPANs

802.11ax introduction and measurement solution

1 Interference Cancellation

MIMO Systems and Applications

Performance Evaluation of STBC MIMO Systems with Linear Precoding

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /VETECF.2010.

Interference Mitigation Techniques in 60 GHz Wireless Networks

Diversity Techniques

Transforming MIMO Test

Prediction of Range, Power Consumption and Throughput for IEEE n in Large Conference Rooms

Performance of wireless Communication Systems with imperfect CSI

5.9 GHz V2X Modem Performance Challenges with Vehicle Integration

Interference-Aware Receivers for LTE SU-MIMO in OAI

Multi attribute augmentation for Pre-DFT Combining in Coded SIMO- OFDM Systems

MIMO in 4G Wireless. Presenter: Iqbal Singh Josan, P.E., PMP Director & Consulting Engineer USPurtek LLC

Adaptive selection of antenna grouping and beamforming for MIMO systems

Configurable 5G Air Interface for High Speed Scenario

Wireless Networks: An Introduction

Design of Analog and Digital Beamformer for 60GHz MIMO Frequency Selective Channel through Second Order Cone Programming

UNDERSTANDING LTE WITH MATLAB

Project: IEEE P Working Group for Wireless Personal Area Networks N

Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs)

Revision of Wireless Channel

TECHNOLOGY : MATLAB DOMAIN : COMMUNICATION

System Level Performance of Millimeter-wave Access Link for Outdoor Coverage

Beamforming and Binary Power Based Resource Allocation Strategies for Cognitive Radio Networks

CHAPTER 3 ADAPTIVE MODULATION TECHNIQUE WITH CFO CORRECTION FOR OFDM SYSTEMS

Auxiliary Beam Pair Enabled AoD Estimation for Large-scale mmwave MIMO Systems

University of Bristol - Explore Bristol Research. Link to published version (if available): /VTCF

ELEC-E7120 Wireless Systems Weekly Exercise Problems 5

Reconfigurable antennas for WiFi networks. Daniele Piazza Founder and CTO Adant Technologies Inc

Millimeter Wave Cellular Channel Models for System Evaluation

Unit 3 - Wireless Propagation and Cellular Concepts

Hybrid Amplification: An Efficient Scheme for Energy Saving in MIMO Systems

DESIGN AND ANALYSIS OF MULTIBAND OFDM SYSTEM OVER ULTRA WIDE BAND CHANNELS

Williams, C., Nix, A. R., Beach, M. A., Prado, A., Doufexi, A., & Tameh, E. K. (2006). Capacity and coverage enhancements of MIMO WLANs in realistic.

Wireless LANs IEEE

ELEC E7210: Communication Theory. Lecture 7: Adaptive modulation and coding

Channel Capacity Estimation in MIMO Systems Based on Water-Filling Algorithm

Design Guidelines on Beam Index Modulation Enabled Wireless Communications

Analytical Evaluation of the Cell Spectral Efficiency of a Beamforming Enhanced IEEE m System

Multi-band Gigabit Mesh Networks: Opportunities and Challenges

Power Allocation Strategy for Cognitive Radio Terminals

Keysight Technologies Testing WLAN Devices According to IEEE Standards. Application Note

LOW COST PHASED ARRAY ANTENNA TRANSCEIVER FOR WPAN APPLICATIONS

Rate and Power Adaptation in OFDM with Quantized Feedback

Communication Efficiency of Error Correction Mechanism Based on Retransmissions

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /WCNC.2016.

802.11ax Design Challenges. Mani Krishnan Venkatachari

[P7] c 2006 IEEE. Reprinted with permission from:

Comparison of MIMO OFDM System with BPSK and QPSK Modulation

Motorola Wireless Broadband Technical Brief OFDM & NLOS

Performance Study of MIMO-OFDM System in Rayleigh Fading Channel with QO-STB Coding Technique

Wireless Physical Layer Concepts: Part III

Cooperative Relaying Networks

MIMO-LTE A relevant Step towards 4G. Prof. Dr.-Ing. Thomas Kaiser CEO mimoon GmbH

ETSI Standards and the Measurement of RF Conducted Output Power of Wi-Fi ac Signals

Project: IEEE P Working Group for Wireless Personal Area Networks N

Revision of Lecture One

Capacity Enhancement in WLAN using

Millimeter Waves. Millimeter Waves. mm- Wave. 1 GHz 10 GHz 100 GHz 1 THz 10 THz 100 THz 1PHz. Infrared Light. Far IR. THz. Microwave.

AWGN Channel Performance Analysis of QO-STB Coded MIMO- OFDM System

Bit Error Rate Performance Evaluation of Various Modulation Techniques with Forward Error Correction Coding of WiMAX

Multiple Input Multiple Output (MIMO) Operation Principles

Carrier Aggregation and MU-MIMO: outcomes from SAMURAI project

Dynamic Subchannel and Bit Allocation in Multiuser OFDM with a Priority User

Selected answers * Problem set 6

Performance Analysis of WiMAX Physical Layer Model using Various Techniques

#8 Adaptive Modulation Coding

MIMO Enabled Efficient Mapping of Data in WiMAX Networks

UPLINK SPATIAL SCHEDULING WITH ADAPTIVE TRANSMIT BEAMFORMING IN MULTIUSER MIMO SYSTEMS

Transcription:

Zhu, X., Doufexi, A., & Koçak, T. (2011). Beamforming performance analysis for OFDM based IEEE 802.11ad millimeter-wave WPANs. In 8th International Workshop on Multi-Carrier Systems & Solutions (MC-SS), 2011 (pp. 1-5). Institute of Electrical and Electronics Engineers (IEEE). DOI: 10.1109/MC-SS.2011.5910710 Peer reviewed version Link to published version (if available): 10.1109/MC-SS.2011.5910710 Link to publication record in Explore Bristol Research PDF-document University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms

Beamforming Performance Analysis for OFDM Based IEEE 802.11ad Millimeter-Wave WPANs Xiaoyi Zhu 1 Angela Doufexi 1 Taskin Kocak 2 1 Department of Electrical and Electronic Engineering University of Bristol, UK 2 Department of Computer Engineering Bahcesehir University, Turkey 8 th International Workshop on Multi-Carrier Systems and Solutions

Overview of Wireless Personal Area Network (WPAN) Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

Overview of Wireless Personal Area Network (WPAN) 60 GHz Frequency Band Allocation Large availability of 7 GHz unlicensed in worldwide Potentially small device components

Overview of Wireless Personal Area Network (WPAN) Overview of 60 GHz WPAN Standards over 60 GHz WPAN IEEE 802.15.3c WirelessHD WiGig ECMA-387 IEEE 802.11ad Characteristics of 60 GHz millimeter-wave WPANs In-door (<10m) Uncompressed HDTV and high rate data transfer At least 1 Gbps throughput, 3-4 Gbps preferable

Overview of Wireless Personal Area Network (WPAN) Overview of 60 GHz WPAN Standards over 60 GHz WPAN IEEE 802.15.3c WirelessHD WiGig ECMA-387 IEEE 802.11ad Characteristics of 60 GHz millimeter-wave WPANs In-door (<10m) Uncompressed HDTV and high rate data transfer At least 1 Gbps throughput, 3-4 Gbps preferable

IEEE 802.11ad Standard Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

IEEE 802.11ad Standard Operating Modes Single Carrier: Low complexity and control information OFDM: High performance applications Table: OFDM Modulation and Coding Schemes Modulation Coding Coded Data Data Rate Rate Bits/Symbol Bits/Symbol (Mbps) QPSK 1/2 672 336 1386.00 QPSK 5/8 672 420 1732.50 QPSK 3/4 672 504 2079.00 16-QAM 1/2 1344 672 2772.00 16-QAM 5/8 1344 840 3465.00 16-QAM 3/4 1344 1008 4158.00 16-QAM 13/16 1344 1092 4504.50 64-QAM 5/8 2016 1260 5197.50 64-QAM 3/4 2016 1512 6237.00 64-QAM 13/16 2016 1638 6756.75

IEEE 802.11ad Standard Operating Modes Single Carrier: Low complexity and control information OFDM: High performance applications Table: OFDM Modulation and Coding Schemes Modulation Coding Coded Data Data Rate Rate Bits/Symbol Bits/Symbol (Mbps) QPSK 1/2 672 336 1386.00 QPSK 5/8 672 420 1732.50 QPSK 3/4 672 504 2079.00 16-QAM 1/2 1344 672 2772.00 16-QAM 5/8 1344 840 3465.00 16-QAM 3/4 1344 1008 4158.00 16-QAM 13/16 1344 1092 4504.50 64-QAM 5/8 2016 1260 5197.50 64-QAM 3/4 2016 1512 6237.00 64-QAM 13/16 2016 1638 6756.75

Channel Frequency Response Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

Channel Frequency Response MIMO Communication System Let y m be the received decision baseband signal for the mth subcarrier y m = H m x m + n m, m = 1,...N where x m is the transmitted data symbol, n m is the Gaussian noise vector with zero mean and variance σ 2, N is the number of subcarriers, and H m represents the frequency response of the equivalent channel matrix for the mth subcarrier after beamforming, which is given by: H m = c H H m w, m = 1,...N w and c are the transmitter and the receiver beem steering vector respectively, and H m is the response of the MIMO channel for the mth subcarrier.

Channel Frequency Response MIMO Communication System Let y m be the received decision baseband signal for the mth subcarrier y m = H m x m + n m, m = 1,...N where x m is the transmitted data symbol, n m is the Gaussian noise vector with zero mean and variance σ 2, N is the number of subcarriers, and H m represents the frequency response of the equivalent channel matrix for the mth subcarrier after beamforming, which is given by: H m = c H H m w, m = 1,...N w and c are the transmitter and the receiver beem steering vector respectively, and H m is the response of the MIMO channel for the mth subcarrier.

Channel Frequency Response MIMO Communication System Let y m be the received decision baseband signal for the mth subcarrier y m = H m x m + n m, m = 1,...N where x m is the transmitted data symbol, n m is the Gaussian noise vector with zero mean and variance σ 2, N is the number of subcarriers, and H m represents the frequency response of the equivalent channel matrix for the mth subcarrier after beamforming, which is given by: H m = c H H m w, m = 1,...N w and c are the transmitter and the receiver beem steering vector respectively, and H m is the response of the MIMO channel for the mth subcarrier.

Optimization Criteria Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

Optimization Criteria Choose the Optimal Weight Vectors Optimization Criteria Max-codeword-distance Max-BER Max-mutual-information Max-effective-SNR [ 1 γ eff = β ln N ] N exp ( γ m /β] m=1 where γ m is the symbol SNR experienced on the mth subcarrier, β is a parameter dependent on MCS.

Optimization Criteria Choose the Optimal Weight Vectors Optimization Criteria Max-codeword-distance Max-BER Max-mutual-information Max-effective-SNR [ 1 γ eff = β ln N ] N exp ( γ m /β] m=1 where γ m is the symbol SNR experienced on the mth subcarrier, β is a parameter dependent on MCS.

Optimization Criteria Choose the Optimal Weight Vectors Optimization Criteria Max-codeword-distance Max-BER Max-mutual-information Max-effective-SNR γ m = [ ] E c H H m wx m 2 E [ n m 2] = c H H m wx m 2 M t M r σ 2 where M t and M r are the number of antenna elements at the transmitter and the receiver respectively. When normalized, w H w=m t and c H c=m r.

Subcarrier-wise Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

Introduction System Model OFDM Based Beamforming Numerical Results Summary Subcarrier-wise Maximize the Received SNR on Each Subcarrier Figure: Block diagram of subcarrier-wise beamforming N maxc,w c H Hm w 1 X = β ln exp N βmt Mr σ 2 " γeff,subcarrier m=1 2!#

Introduction System Model OFDM Based Beamforming Numerical Results Summary Subcarrier-wise Maximize the Received SNR on Each Subcarrier Figure: Block diagram of subcarrier-wise beamforming N maxc,w c H Hm w 1 X = β ln exp N βmt Mr σ 2 " γeff,subcarrier m=1 2!#

Introduction System Model OFDM Based Beamforming Numerical Results Summary Subcarrier-wise Maximize the Received SNR on Each Subcarrier Figure: Block diagram of subcarrier-wise beamforming Optimal but not practical Need full channel state information Requires one FFT/IFFT processor per antenna

Symbol-wise Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

Introduction System Model OFDM Based Beamforming Numerical Results Summary Symbol-wise Each Subcarrier Applies the Same Weight Vector Figure: Block diagram of symbol-wise beamforming Pre-defined beam codebook Full channel state information is not required Depends on the number of antenna elements and beams

Introduction System Model OFDM Based Beamforming Numerical Results Summary Symbol-wise Each Subcarrier Applies the Same Weight Vector Figure: Block diagram of symbol-wise beamforming Pre-defined beam codebook Full channel state information is not required Depends on the number of antenna elements and beams

Introduction System Model OFDM Based Beamforming Numerical Results Summary Symbol-wise Each Subcarrier Applies the Same Weight Vector Figure: Block diagram of symbol-wise beamforming 2 N c H Hm w 1 X = max ( β) ln exp N βmt Mr σ 2 c,w C " γeff,symbol m=1!#

Hybrid Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

Introduction System Model OFDM Based Beamforming Numerical Results Summary Hybrid Compromise the complexity and performance Figure: Block diagram of hybrid beamforming Symbol-wise at Tx, and subcarrier-wise at Rx Optimal each receiver steering vector Also use pre-defined codebook

Introduction System Model OFDM Based Beamforming Numerical Results Summary Hybrid Compromise the complexity and performance Figure: Block diagram of hybrid beamforming Symbol-wise at Tx, and subcarrier-wise at Rx Optimal each receiver steering vector Also use pre-defined codebook

Introduction System Model OFDM Based Beamforming Numerical Results Summary Hybrid Compromise the complexity and performance Figure: Block diagram of hybrid beamforming N c H Hm wopt 1 X = max ( β) ln exp N βmt Mr σ 2 w C " γeff,hybrid m=1 2!#

Beamforming Gain Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

Beamforming Gain Preliminaries System assumptions N=512 OFDM subcarriers 1D half wavelength isotropic radiators M= M t = M r antenna elements Channel assumptions 60 GHz channel models Both LOS and NLOS

Beamforming Gain Preliminaries System assumptions N=512 OFDM subcarriers 1D half wavelength isotropic radiators M= M t = M r antenna elements Channel assumptions 60 GHz channel models Both LOS and NLOS

Beamforming Gain LOS Scenario Evaluate beamforming performance G = γ eff,beamforming γ eff,siso Beamforming gain has a bound when single path exists The performance difference is not noticeable, because the LOS component exists Figure: Beamforming gain with LOS

Beamforming Gain LOS Scenario Evaluate beamforming performance G = γ eff,beamforming γ eff,siso Beamforming gain has a bound when single path exists The performance difference is not noticeable, because the LOS component exists Figure: Beamforming gain with LOS

Beamforming Gain NLOS Scenario Evaluate beamforming performance G = γ eff,beamforming γ eff,siso Subcarrier-wise is the best, hybrid is the next and symbol-wise is the worst The more antenna elements, the higher improvement can be achieved by hybrid beamforming Figure: Beamforming gain with NLOS

BER Performance Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

BER Performance Bit Error Rate Figure: BER for QPSK 1/2 with LOS Figure: BER for QPSK 1/2 with NLOS A 2-by-2 antenna system is assumed The simulated BER performance verified the numerical results

Link Throughput and Ranges Outline 1 Introduction Overview of Wireless Personal Area Network (WPAN) IEEE 802.11ad Standard 2 System Model Channel Frequency Response Optimization Criteria 3 OFDM Based Beamforming Subcarrier-wise Symbol-wise Hybrid 4 Numerical Results Beamforming Gain BER Performance Link Throughput and Ranges

Link Throughput and Ranges Link Throughput in LOS Link Adaptation Scheme The PHY mode with highest throughput will be selected: Throughput = R(1 PER) Figure: Link throughput with LOS The throughput envelop is the ideal adaptive MCS based on the optimum switching point At a certain SNR, beamforming systems offer higher throughput than SISO

Link Throughput and Ranges Link Throughput in LOS Link Adaptation Scheme The PHY mode with highest throughput will be selected: Throughput = R(1 PER) Figure: Link throughput with LOS The throughput envelop is the ideal adaptive MCS based on the optimum switching point At a certain SNR, beamforming systems offer higher throughput than SISO

Link Throughput and Ranges Link Throughput in NLOS Link Adaptation Scheme The PHY mode with highest throughput will be selected: Throughput = R(1 PER) Figure: Link throughput with NLOS Beamforming schemes do not improve the peak error-free throughput More gain can be achieved for very high throughput (>4500 Mbps)

Link Throughput and Ranges Operation Range in LOS Path Loss Model PL(dB) = A + 20 log 10 (f ) + 10n log 10 (D) Figure: Operation range in LOS The system operates at its maximum throughput when the device are close Adaptively switch to the lower speed when a device moves further away

Link Throughput and Ranges Operation Range in LOS Link Budget Model P T PL ktb + NF + ReceiverSNR Figure: Operation range in LOS The system operates at its maximum throughput when the device are close Adaptively switch to the lower speed when a device moves further away

Link Throughput and Ranges Operation Range in NLOS Link Budget Model P T PL ktb + NF + ReceiverSNR Figure: Operation range in NLOS The SISO system could not provide service beyond 1m Subcarrier-wise and hybrid beamforming extend the achievable range significantly

Summary A performance evaluation of three types of beamforming schemes over the OFDM based 60 GHz WPAN are studied; Beamforming schemes increase the system performance significantly; In NLOS, hybrid beamforming provide considerable improvements while maintaining reasonable hardware complexity

Summary A performance evaluation of three types of beamforming schemes over the OFDM based 60 GHz WPAN are studied; Beamforming schemes increase the system performance significantly; In NLOS, hybrid beamforming provide considerable improvements while maintaining reasonable hardware complexity

Summary A performance evaluation of three types of beamforming schemes over the OFDM based 60 GHz WPAN are studied; Beamforming schemes increase the system performance significantly; In NLOS, hybrid beamforming provide considerable improvements while maintaining reasonable hardware complexity

Appendix For Further Reading I S. Yoon, et.al Hybrid beam-forming and beam-switch for OFDM based WPAN JSAC, 27(8):1425-1432, Oct 2009. IEEE 802.15 Working Goup IEEE 802.15-08-0355-00-003c. May 2008. A. Maltsev, et.al Channel models for 60 GHz WLAN systems. May 2010.

Appendix Thank you! and Questions? or Email to <x.zhu@bristol.ac.uk>